scholarly journals A Web-Based eHealth Intervention to Improve the Quality of Life of Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial

10.2196/25175 ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. e25175
Author(s):  
David H Gustafson Sr ◽  
Marie-Louise Mares ◽  
Darcie C Johnston ◽  
Jane E Mahoney ◽  
Randall T Brown ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Primary Care ◽  
Health Care ◽  
Chronic Conditions ◽  
Health Care Use ◽  
Multiple Chronic Conditions ◽  
Secondary Outcomes ◽  
Ehealth Intervention

Background Multiple chronic conditions (MCCs) are common among older adults and expensive to manage. Two-thirds of Medicare beneficiaries have multiple conditions (eg, diabetes and osteoarthritis) and account for more than 90% of Medicare spending. Patients with MCCs also experience lower quality of life and worse medical and psychiatric outcomes than patients without MCCs. In primary care settings, where MCCs are generally treated, care often focuses on laboratory results and medication management, and not quality of life, due in part to time constraints. eHealth systems, which have been shown to improve multiple outcomes, may be able to fill the gap, supplementing primary care and improving these patients’ lives. Objective This study aims to assess the effects of ElderTree (ET), an eHealth intervention for older adults with MCCs, on quality of life and related measures. Methods In this unblinded study, 346 adults aged 65 years and older with at least 3 of 5 targeted high-risk chronic conditions (hypertension, hyperlipidemia, diabetes, osteoarthritis, and BMI ≥30 kg/m2) were recruited from primary care clinics and randomized in a ratio of 1:1 to one of 2 conditions: usual care (UC) plus laptop computer, internet service, and ET or a control consisting of UC plus laptop and internet but no ET. Patients with ET have access for 12 months and will be followed up for an additional 6 months, for a total of 18 months. The primary outcomes of this study are the differences between the 2 groups with regard to measures of quality of life, psychological well-being, and loneliness. The secondary outcomes are between-group differences in laboratory scores, falls, symptom distress, medication adherence, and crisis and long-term health care use. We will also examine the mediators and moderators of the effects of ET. At baseline and months 6, 12, and 18, patients complete written surveys comprising validated scales selected for good psychometric properties with similar populations; laboratory data are collected from eHealth records; health care use and chronic conditions are collected from health records and patient surveys; and ET use data are collected continuously in system logs. We will use general linear models and linear mixed models to evaluate primary and secondary outcomes over time, with treatment condition as a between-subjects factor. Separate analyses will be conducted for outcomes that are noncontinuous or not correlated with other outcomes. Results Recruitment was conducted from January 2018 to December 2019, and 346 participants were recruited. The intervention period will end in June 2021. Conclusions With self-management and motivational strategies, health tracking, educational tools, and peer community and support, ET may help improve outcomes for patients coping with ongoing, complex MCCs. In addition, it may relieve some stress on the primary care system, with potential cost implications. Trial Registration ClinicalTrials.gov NCT03387735; https://www.clinicaltrials.gov/ct2/show/NCT03387735. International Registered Report Identifier (IRRID) DERR1-10.2196/25175

scholarly journals A Web-based eHealth Intervention to Improve Quality of Life for Older Adults with Multiple Chronic Conditions: Study Protocol for a Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
David H Gustafson Sr ◽  
Marie-Louise Mares ◽  
Darcie C Johnston ◽  
Jane E. Mahoney ◽  
Randall T. Brown ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Primary Care ◽  
Chronic Conditions ◽  
Multiple Chronic Conditions ◽  
Healthcare Use ◽  
Health Records ◽  
Secondary Outcomes ◽  
Ehealth Intervention

BACKGROUND Multiple chronic conditions (MCCs) are common and expensive among older adults. Of Medicare beneficiaries, two-thirds have multiple conditions (eg, diabetes, osteoarthritis) and account for more than 90% of Medicare spending. At the same time, patients with MCCs experience lower quality of life and worse medical and psychiatric outcomes than patients without MCCs. In primary care settings, where MCCs are generally treated, care often focuses on lab results and medication management, and not quality of life, due in part to time constraints. eHealth systems, which have been shown to improve multiple outcomes, may be able to fill the gap, supplementing primary care and improving the lives of patients with MCCs. OBJECTIVE To assess effects of ElderTree, an eHealth intervention for older adults with MCCs, on quality of life and related measures. METHODS In this unblinded study, 346 adults age 65+ with at least 3 of 5 targeted high-risk chronic conditions (hypertension, hyperlipidemia, diabetes, osteoarthritis, BMI 30+) were recruited from primary care clinics and randomized 1:1 to one of two conditions: (1) usual care plus laptop computer, Internet service, and ElderTree, or (2) a control consisting of usual care plus laptop and Internet but no ElderTree. Patients with ElderTree have access for 12 months and will be followed for an additional 6 months after the intervention ends, for a total of 18 months. Primary outcomes are the differences between the two groups on measures of quality of life, psychological well-being, and loneliness. Secondary outcomes are between-groups differences on lab scores, number and severity of falls, symptom distress, medication adherence, and crisis and long-term healthcare use. We will also examine mediators and moderators of the effects of ElderTree. At baseline and months 6, 12, and 18, patients complete written surveys comprising validated scales selected for good psychometric properties with similar populations; lab data are collected from electronic health records; healthcare use and chronic conditions are collected from both health records and patient surveys; and ElderTree use data are collected continuously in system logs. We will use general linear models and linear mixed models to evaluate primary and secondary outcomes over time, with treatment condition as a between-subjects factor. Separate analyses will be conducted for outcomes that are noncontinuous or not correlated with other outcomes. RESULTS Recruitment ran from January 2018 through December 2019; a total of 346 participants were recruited. The intervention period will end June 2021. CONCLUSIONS With self-management and motivational strategies, health tracking, educational tools, and peer community and support, ElderTree may help improve outcomes for patients coping with ongoing, complex MCCs. In addition, it may relieve some stress on the primary care system, with potential cost implications. CLINICALTRIAL ClinicalTrials.gov NCT03387735

scholarly journals Chronic conditions, multimorbidity, and quality of life among patients attending monk healers and primary care clinics in Thailand

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Health Care ◽  
Chronic Conditions ◽  
Care Setting ◽  
Primary Care Setting ◽  
Older Age ◽  
Migraine Headaches ◽  
Treatment Settings

Abstract Background The study aimed to assess chronic diseases, multimorbidity, and QoL among patients attending two different treatment settings in Thailand. Methods In all, 1409 attendees of three monk healer or three health centres were assessed with self-reported measures on chronic conditions and Quality of Life (QoL). Results Results indicate that the most common chronic conditions were common mental disorder (25.2%), followed by hypertension (22.8%), high blood cholesterol (18.0%), fatigue disorder (14.4%), diabetes (14.0%), migraine headaches (13.7%), sleeping problem (12.2%), and ulcer (11.0%). In all, 40.6% had multimorbidity (two or more chronic conditions) (42.4% in the monk healer and 38.9% in the primary care setting). In ANCOVA analysis, adjusted for sex, age, employment status, marital status, education, economic status, comorbidity, and health care setting, the poorest overall QoL was found among clients with common mental disorders (58.5 mean score), followed by emphysema or asthma (60.2), sleeping problem (61.5), migraine headaches (62.7), fatigue disorder (63.3), substance use disorder (63.6) and ulcer (64.3). The overall QoL was poorer among monk healer clients (66.5) than primary care patients (68.8). In adjusted logistical regression analysis, being a monk healer attendee, older age (55–93 years), and high debt were positively, and being employed and better overall quality of life were negatively associated with multimorbidity, overall, for the monk healer and primary care setting. In adjusted linear regression analyses, primary health care attenders, older age, were employed and post-secondary education increased the odds of better overall QoL. Conclusion Multimorbidity was higher among clients attending monk healers than those attending primary care facilities and QoL was poorer among clients seeking care from monk healers than those attending primary care. High multimorbidity was found and major chronic conditions were found to have poor QoL. Determinants of multimorbidity and QoL in two different treatment settings provide information to improve the management of chronic conditions.

Private health insurance and quality of life: perspectives of older Australians with multiple chronic conditions

2012 ◽  
Vol 18 (3) ◽  
pp. 212 ◽  
Author(s):  
Yun-Hee Jeon ◽  
Annie Black ◽  
Janelle Govett ◽  
Laurann Yen ◽  
Ian McRae
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Health Insurance ◽  
Older People ◽  
Chronic Conditions ◽  
Private Health Insurance ◽  
Multiple Chronic Conditions ◽  
Financial Pressure ◽  
Health Related

A qualitative study was conducted to explore in-depth issues relating to the health costs of chronic illness as identified in a previous study. A key theme that emerged from interviews carried out was the benefits and challenges of private health insurance (PHI) membership, and choices older Australians with multimorbidity make in accessing health services, with and without PHI. This is the focus of this paper. Semistructured interviews were conducted with 40 older people with multiple chronic conditions. Data were analysed using content analysis. Key motivators for maintaining PHI included: fear of an inability to access timely health care; the opportunity to exercise choice in service provider; a belief of being ‘better off’ both medically and financially, which was often ill-founded; and the core values of self reliance and independence. Most described financial pressure caused by rising PHI premiums as well as other out-of-pocket health related expenses. Many older people who can ill afford PHI still struggle to maintain it, potentially at the cost of their quality of life, based on beliefs about costs of health care that they have never properly assessed. The findings highlight the degree to which people whose resources are constrained are prepared to go to maintain access to private hospital care. Attention should be given to assisting older people to make informed and valid choices of health insurance derived from the facts, rather than being based on fear and assumptions.

scholarly journals Patient Suffering in Chronic Digestive Diseases: Will Primary Care-Specialist Collaboration With Effective Interactive Communication and Integrative Medicine in the Plan of Care Improve Quality of Life?

2020 ◽  
Vol 7 (6) ◽  
pp. 989-993
Author(s):  
Andrew Thomas ◽  
Annie Thomas
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Health Care ◽  
Health Care Providers ◽  
The United States ◽  
Care Providers ◽  
Physician Visits ◽  
Digestive Diseases ◽  
Care Specialist

Acute and chronic digestive diseases are causing increased burden to patients and are increasing the United States health care spending. The purpose of this case report was to present how nonconfirmatory and conflicting diagnoses led to increased burden and suffering for a patient thus affecting quality of life. There were many physician visits and multiple tests performed on the patient. However, the primary care physician and specialists could not reach a confirmatory diagnosis. The treatment plans did not offer relief of symptoms, and the patient continues to experience digestive symptoms, enduring this burden for over 2 years. The central theme of this paper is to inform health care providers the importance of utilizing evidence-based primary care specialist collaboration models for better digestive disease outcomes. Consistent with patient’s experience, the authors propose to pilot/adopt the integrative health care approaches that are proven effective for treating digestive diseases.

scholarly journals Factors related to perceived continuity of care in hospitalized cardiac patients

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
E Safstrom ◽  
T.J Jaarsma ◽  
L.N Nordgren ◽  
M.L Liljeroos ◽  
A.S Stomberg
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Health Care ◽  
Continuity Of Care ◽  
Perceived Control ◽  
Care Utilization ◽  
Funding Source ◽  
Patient Reported

Abstract Background Since healthcare systems are increasingly complex and often fragmented, continuity of care after hospitalization is a priority to increase patient safety and satisfaction. Aim Describe factors related to continuity of care in patients hospitalized due to cardiac conditions. Methods This cross-sectional multicenter study enrolled patients 6 weeks after hospitalization due to cardiac conditions. A total of 993 patients were included (mean age 72.2 (SD 10.4), males 66%) with AMI (35%), AF (25%), angina (21%) and HF (17.3%). Patients completed the Patient Continuity of Care Questionnaire, a questionnaire based on the definition that continuity of care is “the extent to which a series of health care services is experienced as connected and coherent and is consistent with a patient's health needs and personal circumstances”. The total score of the questionnaire ranges from 6 to 30, higher score indicating higher continuity and a score <24 indicating insufficient continuity. Cronbach's alpha on the total PCCQ was 0.94. Correlations between PCCQ and quality of life, depression, anxiety, perceived control and health care utilization were estimated using spearman rang correlation. Results Insufficient continuity of care ranged between 47% to 59% in the different diagnosis groups, which the highest continuity in the AMI group and lowest in patients with atrial fibrillation. In patients hospitalized due to AMI (n=355, mean age 71 (± 11), 70% men), continuity of care was related to higher perceived control, higher quality of life, a good financial situation, being a man, no symptoms of anxiety or depression (ᚹ range 0.17–0.26 p≤0.002). A low score on the PCCQ were associated with follow-up visit to a nurse in primary care after hospitalization (ᚹ −0.12 p=0.033). In patients hospitalized due to angina (n=210, mean age 73 (± 9), 74% men), continuity of care was related to higher perceived control, higher quality of life and no depressive symptoms (ᚹ range between 0.20 and 0.26 p=0.005). In patients with AF, (n=255, mean age 71 (± 10.), 58% men), continuity of care was related to having had contact by telephone with a nurse-led AF clinic, higher perceived control, higher quality of life and not being depressed (ᚹ range between 0.14–0.25 p=0.03). In patients with HF, (n=173, mean age 77 (±8) 59% men), continuity was related to male ender, younger age, follow-up in a nurse-led HF clinic and not being anxious (ᚹ range between 0.16 and 0.22 p=0.004–0.047). Low total score on PCCQ correlated to having had telephone contact with nurse in primary care (ᚹ −0.24 p=0.002). Conclusion Almost half of all patient reported insufficient continuity of care. Perceived control, quality of life, and symptoms of depression were related to higher continuity of care in all diagnose groups except heart failure. Further, there was a correlation between continuity and follow-up visits or contact by telephone with nurse-led clinics in all diagnose groups except angina. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Medical Research Council of Southeast Sweden, Centre for Clinical Research Sörmland

scholarly journals HEALTHCARE PROVIDERS’ EXPERIENCES IN CARING FOR OLDER ADULTS WITH MULTIPLE CHRONIC CONDITIONS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S317-S318
Author(s):  
Jenny Ploeg ◽  
Marie-Lee Yous ◽  
Kimberly Fraser ◽  
Sinéad Dufour ◽  
Sharon Kaasalainen ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Home Care ◽  
Family Caregivers ◽  
Chronic Conditions ◽  
Care Delivery ◽  
Healthcare Providers ◽  
Multiple Chronic Conditions ◽  
Team Approach ◽  
Personal Support

Abstract The management of multiple chronic conditions (MCC) in older adults living in the community is complex. Little is known about the experiences of interdisciplinary primary care and home providers who care for this vulnerable group. The aim of this study was to explore the experiences of healthcare providers in managing the care of community-living older adults with MCC and to highlight their recommendations for improving care delivery for this group. A qualitative interpretive description design was used. A total of 42 healthcare providers from two provinces in Canada participated in semi-structured interviews. Participants represented diverse disciplines (e.g., physicians, nurses, social workers, personal support workers) and settings (e.g., primary care and home care). Thematic analysis was used to analyze interview data. The experiences of healthcare providers managing care for older adults with MCC were organized into six major themes: (1) managing complexity associated with MCC, (2) implementing person-centred care, (3), involving and supporting family caregivers, (4) using a team approach for holistic care delivery, (5) encountering rewards and challenges in caring for older adults with MCC, and (6) recommending ways to address the challenges of the healthcare system. Healthcare providers highlighted the need for a more comprehensive integrated system of care to improve care management for older adults with MCC and their family caregivers. Specifically, they suggested increased care coordination, more comprehensive primary care visits with an interprofessional team, and increased home care support.

Challenges of Telemonitoring Programs for Complex Chronic Conditions: A Randomized Controlled Trial with an Embedded Qualitative Study (Preprint)

2021 ◽  
Author(s):  
Patrick Ware ◽  
Amika Shah ◽  
Heather Joan Ross ◽  
Alexander Gordon Logan ◽  
Phillip Segal ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Randomized Controlled Trial ◽  
Decision Support ◽  
Chronic Conditions ◽  
Controlled Trial ◽  
Self Care ◽  
Randomized Controlled ◽  
Complex Patients ◽  
Secondary Outcomes

BACKGROUND Despite the growing prevalence of people with complex conditions and evidence of the positive impact of telemonitoring for single conditions, little research exists on the use of telemonitoring in this population, particularly those with multiple chronic conditions (MCCs). OBJECTIVE This randomized controlled trial (RCT) and embedded qualitative study aimed to evaluate the impact and experiences of patients and healthcare providers (HCPs) using a telemonitoring system with decision support to manage complex patients, including those with MCCs, compared to the standard of care. METHODS A pragmatic 6-month RCT sought to recruit 146 patients with a diagnosis of heart failure (HF), uncontrolled hypertension (HT), and/or insulin requiring diabetes (DM) from outpatient specialty settings in Toronto, Canada. Participants were randomized into the control and telemonitoring groups with the latter being instructed to take readings relevant to their condition(s). The telemonitoring system contained an algorithm that generated decision support in the form of actionable self-care directives to patients and alerts to HCPs. The primary outcome was health status as measured by the SF-36. Secondary outcomes included anxiety and depression, self-efficacy in chronic disease management, and self-reported healthcare utilization. HF-related quality of life and self-care measures were also collected from patients followed for HF. Within- and between-group change scores were analyzed for statistical significance (P<.05). A convenience sample of HCPs and patients in the intervention group were interviewed about their experiences RESULTS A total of 96 patients were recruited and randomized. Recruitment was terminated early due to implementation challenges and the onset of COVID-19. No significant within- and between-group differences were found for the main primary and secondary outcomes. However, a within-group analysis of HF patients found improvements in self-care maintenance (P=.036) and physical quality of life (P= .046). Opinions expressed by the 5 HCPs and 13 patients interviewed differed based on the condition(s) monitored. Although HF patients reported benefitting from actionable self-care guidance and meaningful interactions with their HCPs, patient and HCP users of the DM and HT modules did not think telemonitoring improved the clinical management of those conditions to the same degree. These differing experiences were largely attributed to the siloed nature of specialty care, and the design of the decision support whereby it was indicated that fluctuations in HT and DM patient status typically required less urgent intervention compared to HF. CONCLUSIONS Consistent with previous studies, we recommend that future research conceive telemonitoring as a program and that self-management and clinical decision support are necessary, but not sufficient components of such programs for complex patients with lower acuity. We conclude that a multidisciplinary model of care that includes care coordination must accompany telemonitoring systems which may best be operationalized through novel models of care, such as nurse-led models. CLINICALTRIAL ClinicalTrials.gov NCT03127852, ISRCTN (41238563) INTERNATIONAL REGISTERED REPORT RR2-10.2196/resprot.8367

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